Data Science Apprentice
COLORIFIX LIMITED
Norwich (NR4 7UG)
Closes in 30 days (Sunday 15 June 2025)
Posted on 16 May 2025
Contents
Summary
At Colorifix data drives our mission to create sustainable biological dyes for the textile industry. We are seeking a Data Science Apprentice to help the team with data organisation, analysis, and bioinformatics to help answer critical business questions. If you like to solve problems and love science, this is the role for you!
- Wage
-
£22,000 a year
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
-
Monday to Friday 9am - 6pm
40 hours a week
- Start date
-
Monday 1 September 2025
- Duration
-
4 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Being a valued member of the Informatics team by providing feedback on data and project specific tasks
- Helping the R&D teams making sense of the data they produce using statistics
- Building data products to serve the company’s data needs
- Collaborate on improving data quality and documentation for various stakeholders in the wider company
Where you'll work
Norwich Research Park, Colney Lane
Colney
Norwich
NR4 7UG
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
ANGLIA RUSKIN UNIVERSITY HIGHER EDUCATION CORPORATION
Your training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Your training plan
- BSc (Hons) Data Science via Data scientist (integrated degree) Level 6 apprenticeship standard, including Functional Skills in English and maths if required
- This apprenticeship is delivered via ‘Blended Learning’ which is a combination of online distancelearning and in-person teaching and learning. The in-person teaching is delivered in ‘blocks’ on ARU's Cambridge campus.
More training information
- Development of data products and analytics within a business environment
- Data modelling
- Development of a product mindset
- Software development and best practices
Requirements
Desirable qualifications
GCSE in:
Maths and English and 3 other subjects (grade C/4 or above)A Level in:
Any (grade 96 UCAS Points (CCC))BTEC in:
Any (grade 96 UCAS Points (MMM))Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Problem solving skills
- Analytical skills
- Team working
- Initiative
Other requirements
Occasional visits to the Norwich offices for team meetings
About this company
Colorifix is a biotechnology company that aims to bring a novel, sustainable and environmentally friendly process to the textile dyeing industry by eliminating the use of hazardous chemicals as well as allowing for large savings in water and energy use. Colorifix has been recognised by winning awards in both synthetic biology and fashion, with full information available on our website. We promote and adhere to our company values of Trust, Sustainability, Respect, Inclusivity and Social Conscience.
After this apprenticeship
The apprentice will be positioned for a career as a Data Scientist or Analyst at Colorifix. As the data team evolves, this role could grow into technical specialisation (e.g. data analytics, data engineering, machine learning) or operational leadership within digital services and analytics.
Ask a question
The contact for this apprenticeship is:
ANGLIA RUSKIN UNIVERSITY HIGHER EDUCATION CORPORATION
rodolfo.marques@colorifix.com
The reference code for this apprenticeship is VAC1000320434.
Apply now
Closes in 30 days (Sunday 15 June 2025)
When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.
After signing in, you’ll apply for this apprenticeship on the company's website.
Company’s application instructions
TO APPLY - please email a CV and Covering Letter to recruitment@colorifix.com. The recruitment process will consist of CV screening, screening interview for fit check, second interview focused on hard and soft skills assessment.